Abstract
In this paper, we present an analysis of Covid-19 data during the first 138 days in Senegal. The data come from the website of the Ministry of Health and Social Action. We build a database with R and Python scripts helping to carry out data analysis for answering questions that support decision-makers. We compute the basic reproduction rate with the collected data using the SIRD model approach (susceptible, infected, recovered, death). Results show that there are two phases in the evolution of infected cases, 4.75% are between the first day of the Covid-19 outbreak and the 50th day, 95.25% are between the 51st day and the 138th day corresponding to the period of the reopening of airports. The average value of the basic reproduction rate during the first 138 days is 2.77. We observed a strong correlation between infected cases and community infected cases. The obtained results could help decision-makers to evaluate the statistical evolution of infected persons.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Ross, R.: An application of the theory of probabilities to the study of a priori pathometry. Part I. Proc. R. Soc. London 92 (638) (1916). https://doi.org/10.1098/rspa.1916.0007
Covid19 Cases number. http://www.sante.gouv.sn/Actualites/
Diekmann, O., Heesterbeek, J.A., Metz, J.A.: On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations. J. Math. Biol. 28(4), 36582 (1990). ISSN 0303-6812. https://doi.org/10.1007/BF00178324
Li, X.Q., Cuomo, R., Purushothaman, V.: Data mining and content analysis of the Chinese social media platform weibo during the early COVID-19 outbreak: retrospective observational infoveillance study. JMIR Public Health Surveill. 6(2), e18700 (2020). PMID: 32293582 PMCID: PMC7175787 https://doi.org/10.2196/18700
Jahanbin, K., Rahmanian, F., Rahmanian, V., Sotoodeh, J.A.: Application of Twitter and web news mining in infectious disease surveillance systems and prospects for public health. GMS Hyg. Infect. Control 14, 1–12 (2019)
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., et al.: Clinical features of patients infected with novel coronavirus in Wuhan. China. Lancet (2019). https://doi.org/10.1016/S0140-6736(20)30183-5
Nishiura, H., Jung, S.M., Linton, N.M., Kinoshita, R., Yang, Y., Hayashi, K., et al.: The extent of transmission of novel coronavirus in Wuhan, China. J Clin Med. (2020). https://doi.org/10.3390/jcm9020330
Majumder, M., Mandl, K.D.: Early transmissibility assessment of a novel coronavirus in Wuhan, China. SSRN (2020). https://doi.org/10.2139/ssrn.3524675
Wang, C., Horby, P.W., Hayden, F.G., Gao, G.F.: A novel coronavirus outbreak of global health concern. Lancet. 395(10223), 470–473 (2020). [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]. https://doi.org/10.1016/S0140-6736(20)30185-9
Guellil, I., Boukhalfa, K.: Social big data mining: a survey focused on opinion mining and sentiments analysis. In: Conference of ISPS 2015: 12th International Symposium on Programming and Systems, Algiers. IEEE (2015). https://doi.org/10.1109/ISPS.2015.7244976
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Dathe, H., Paul, P.N.T. (2021). A Covid-19 Data Analysis During the First Five Months in Senegal. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12950. Springer, Cham. https://doi.org/10.1007/978-3-030-86960-1_41
Download citation
DOI: https://doi.org/10.1007/978-3-030-86960-1_41
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-86959-5
Online ISBN: 978-3-030-86960-1
eBook Packages: Computer ScienceComputer Science (R0)